Lowe, D.G.,
Fitting Parameterized Three-Dimensional Models to Images,
PAMI(13), No. 5, May 1991, pp. 441-450.
IEEE DOI
BibRef
9105
Earlier:
Stabilized Solution for 3-D Model Parameters,
ECCV90(408-412).
Springer DOI Apply a least-square fit of the model with curved surfaces to find
the correct fit. Find viewpoint and model parameters.
BibRef
Lowe, D.G.,
Solving for the Parameters of Object Models from Image Descriptions,
DARPA80(121-127).
BibRef
8000
McReynolds, D.P.[Daniel P.],
Lowe, D.G.[David G.],
Rigidity Checking of 3D Point Correspondences Under
Perspective Projection,
PAMI(18), No. 12, December 1996, pp. 1174-1185.
IEEE DOI
9701
BibRef
Earlier:
ICCV95(945-950).
IEEE DOI
BibRef
And:
UBC95-05, March 1995.
Just determine whether it is possible that the points are a
rigid configuration.
BibRef
Chenavier, F.[Frédéric],
Reid, I.D.[Ian D.],
Brady, J.M.[J. Michael],
Recognition of Parameterized Objects from 3D Data:
A Parallel Implementation,
IVC(12), No. 9, November 1994, pp. 573-582.
Elsevier DOI
BibRef
9411
Earlier: A2, A3, Only:
Recognizing Parameterized Objects Using 3D Edges,
BMVC91(xx-yy).
PDF File.
9109
See also Recognition of Object Classes from Range Data.
BibRef
Chen, Z.,
Chia, T.L.,
Ho, S.Y.,
Measuring 3-D Location and Shape Parameters of Cylinders by a
Spatial Encoding Technique,
RA(10), 1994, pp. 632-647.
BibRef
9400
Dawson-Howe, K.M.[Kenneth M.],
Vernon, D.[David],
3-D Object Recognition Through Implicit Model Matching,
PRAI(9), 1995, pp. 959-990.
BibRef
9500
Earlier:
3-D object recognition using passively sensed range data,
ECCV92(806-814).
Springer DOI
9205
BibRef
Vernon, D.[David],
Cognitive vision: The case for embodied perception,
IVC(26), No. 1, 1 January 2008, pp. 127-140.
Elsevier DOI
0711
Cognitive vision; Embodiment; Cognitivist systems; Dynamical systems;
Enactive systems
BibRef
Borges, D.L.[Díbio L.],
Fisher, R.B.[Robert B.],
Class-Based Recognition of 3D Objects Represented by
Volumetric Primitives,
IVC(15), No. 8, August 1997, pp. 655-664.
Elsevier DOI
9708
BibRef
Earlier:
BMVC96(Model Fitting, Matching, Recognition).
9608
BibRef
And:
DAINo. 816, July 1996.
BibRef
EdinburghUniversity of Edinburgh
Recognize similar objects that are in different subclasses.
First an indexing method, then an Interpretation Tree, then passed to
pose estimation.
BibRef
Zhong, Y.[Yu],
Jain, A.K.[Anil K.],
Object localization using color, texture and shape,
PR(33), No. 4, April 2000, pp. 671-684.
Elsevier DOI
0002
From a sketch for querying object shape.
BibRef
Mokhtarian, F.,
Khalili, N.,
Yuen, P.,
Multi-scale free-form 3D object recognition using 3D models,
IVC(19), No. 5, 1 April 2001, pp. 271-281.
Elsevier DOI
0102
Given feature points, match to thos in hash table.
See also Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves, A.
See also Curvature Computation on Free-Form 3-D Meshes at Multiple Scales.
See also Estimation of Error in Curvature Computation on Multi-Scale Free-Form Surfaces.
BibRef
Yuen, P.,
Mokhtarian, F.,
Khalili, N.,
Multi-Scale 3-D Surface Description: Open and Closed Surfaces,
SCIA99(Deformable Models).
BibRef
9900
Mokhtarian, F.,
Khalili, N.,
Yuen, P.,
Free-Form 3-D Object Recognition at Multiple Scales,
BMVC00(xx-yy).
PDF File.
0009
BibRef
Ngo, T.D.[Thanh Due],
Le, D.D.[Duy-Dinh],
Satoh, S.[Shin'ichi],
Boosting global scene classification accuracy by discriminative region
localization,
ICIP11(1053-1056).
IEEE DOI
1201
region localization, not object detection in classification.
BibRef
Zhu, Y.[Ying],
Comaniciu, D.[Dorin],
Ramesh, V.[Visvanathan],
Schwartz, S.[Stuart],
Parametric Representations for Nonlinear Modeling of Visual Data,
CVPR01(II:553-560).
IEEE DOI
0110
Learn the model for recognition.
BibRef
Campbell, R.J.[Richard J.],
Krumm, J.[John],
Object Recognition for an Intelligent Room,
CVPR00(I: 691-697).
IEEE DOI
0005
BibRef
Bellaire, B.,
Schluens, S.,
3-D Object Recognition by Matching the Total View Information,
ICPR96(I: 534-538).
IEEE DOI
9608
(TU Berlin, D)
BibRef
Wu, J.,
Recognition by Recall,
ICPR96(IV: 154-158).
IEEE DOI
9608
(National Univ. of Singapore, SGP)
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Associative Memory for Matching and Recognition .